PRODUCTION LAUNCH PLAN v091 - nself-org/nchat GitHub Wiki

Production Launch Plan - nself-chat v0.9.1

Plan Version: 1.0 Created: February 9, 2026 Target GA Date: March 23, 2026 (6 weeks) Status: Ready for Execution

Executive Summary

This document outlines the complete launch strategy for nself-chat v0.9.1, from final preparations through general availability. The plan follows a phased rollout approach to minimize risk while maximizing learning.

Launch Strategy: Phased Rollout (Internal → Closed Beta → Open Beta → GA) Timeline: 6 weeks Success Criteria: 99.9% uptime, < 0.5% error rate, NPS > 50

Phase 0: Pre-Launch Preparation (Week 1)

Duration: Feb 9-15, 2026 (7 days) Goal: Complete all critical path items and final QA Status: In Progress

Critical Path Items (MUST Complete)

Task Priority Effort Owner Status
Fix TypeScript errors (33 remaining) P0 8-12h Dev ⏳
Fix accessibility violations (37 issues) P0 6-8h Dev ⏳
Update vulnerable dependencies (d3-color, xlsx) P0 3h Dev ⏳
Legal review (if commercial) P0 Varies Legal ⏳
Final security scan P0 2h Security ⏳
Load testing on production infrastructure P0 4h DevOps ⏳
Backup/restore drill P0 2h DevOps ⏳

Total Critical Path: 25-37 hours + legal review

Recommended Items (SHOULD Complete)

Task Priority Effort Owner Status
Performance optimizations (lazy loading) P1 8h Dev ⏳
Mobile device testing P1 8h QA ⏳
OAuth provider E2E tests P1 8h Dev ⏳
External penetration test P1 Budget Security ⏳

Total Recommended: 24+ hours

Deliverables

  • [ ] All TypeScript errors resolved
  • [ ] All accessibility violations fixed
  • [ ] All high-severity dependencies updated
  • [ ] Legal review signed off (if applicable)
  • [ ] Security scan passed
  • [ ] Load test report (production infra)
  • [ ] Backup/restore validation report
  • [ ] Performance optimization report
  • [ ] Mobile testing report
  • [ ] OAuth testing report

Success Criteria

  • ✅ Build succeeds with 0 TypeScript errors
  • ✅ ESLint passes with 0 errors
  • ✅ Security scan shows 0 critical/high vulnerabilities
  • ✅ Load test validates 1,000+ concurrent users
  • ✅ Backup restores successfully in < 30 minutes
  • ✅ All critical path items complete

Risk Mitigation

Risk: Not enough time to complete all items Mitigation: Prioritize P0 items, defer P1 to beta phase

Risk: Legal review delays launch Mitigation: Start legal review immediately, proceed with internal alpha during review

Phase 1: Internal Alpha (Week 2)

Duration: Feb 16-22, 2026 (7 days) Goal: Validate stability with internal team Target Users: 5-20 internal team members

Deployment Strategy

Environment: Production (isolated namespace) Method: Blue-green deployment Monitoring: 24/7 during alpha period

Deployment Steps:

  1. Deploy to production namespace nself-chat-alpha
  2. Configure internal-only access (VPN or IP whitelist)
  3. Set up monitoring dashboards
  4. Enable verbose logging
  5. Conduct smoke tests
  6. Invite internal team

Testing Plan

Daily Activities:

  • Morning standup (15 min)
  • Active usage throughout day
  • Bug reports in dedicated Slack channel
  • Evening metrics review (30 min)

Test Scenarios:

  1. User registration and login
  2. Channel creation and management
  3. Message sending/editing/deleting
  4. File uploads (images, documents)
  5. Voice/video calls (1:1 and group)
  6. Search functionality
  7. Settings and preferences
  8. Mobile app usage (if ready)
  9. Desktop app usage (if ready)
  10. Integration testing (webhooks, bots)

Metrics to Track

Technical Metrics:

  • Error rate (target: < 1%)
  • Response time (target: < 500ms p95)
  • Uptime (target: > 99.5%)
  • WebSocket connection stability
  • Database query performance
  • Memory usage
  • CPU usage

User Metrics:

  • Daily active users
  • Messages sent per day
  • Average session duration
  • Feature usage (calls, files, search)
  • User-reported bugs

Success Criteria

  • ✅ < 5 high-priority bugs reported
  • ✅ 0 critical bugs
  • ✅ > 99.5% uptime
  • ✅ < 1% error rate
  • ✅ All team members can perform core workflows
  • ✅ No data loss incidents
  • ✅ No security incidents

Exit Criteria

GO to Closed Beta:

  • All success criteria met
  • All critical bugs fixed
  • All high-priority bugs have mitigation
  • Team feedback is positive
  • Monitoring confirms stability

NO-GO:

  • 5 high-priority bugs unfixed

  • Any critical bugs
  • Uptime < 99%
  • Data loss or security incident
  • Team feedback is negative

Phase 2: Closed Beta (Weeks 3-4)

Duration: Feb 23 - Mar 8, 2026 (14 days) Goal: Validate product-market fit with real users Target Users: 50-100 selected beta testers

User Selection

Selection Criteria:

  1. Diverse use cases (teams, communities, businesses)
  2. Technical proficiency (can report bugs effectively)
  3. Commitment (active usage for 2 weeks)
  4. NDA signed (if required)

Invitation Process:

  1. Email invitation with onboarding guide
  2. Personal welcome video
  3. Dedicated support channel
  4. Weekly feedback surveys
  5. 1:1 interviews with selected users

Deployment Strategy

Environment: Production (main namespace) Access Control: Invitation-only registration codes Monitoring: Business hours + on-call rotation

Rollout Plan:

  • Day 1-3: 10 users (1-2 teams)
  • Day 4-7: 30 users (3-5 teams)
  • Day 8-14: 100 users (10-15 teams)

Feature Flags

Enabled for Beta:

  • All core messaging features
  • File uploads (with size limits)
  • Voice/video calls (with participant limits)
  • Basic integrations
  • Search (full-text)

Disabled/Limited:

  • Crypto payments (testing mode only)
  • Advanced analytics (basic only)
  • Large file uploads (limit: 50MB)
  • Group calls (limit: 25 participants)

Feedback Collection

Automated:

  • In-app NPS surveys (weekly)
  • Feature usage analytics
  • Error tracking
  • Performance metrics

Manual:

  • Daily feedback in beta Slack channel
  • Weekly email surveys
  • Bi-weekly 1:1 interviews
  • End-of-beta group retrospective

Support Plan

Support Channels:

  1. Beta Slack channel (fastest)
  2. Email support ([email protected])
  3. Weekly office hours (live Q&A)
  4. Documentation site

SLA:

  • Critical issues: 2-hour response
  • High issues: 4-hour response
  • Medium issues: 24-hour response
  • Low issues: 48-hour response

Metrics to Track

Technical Metrics:

  • Error rate (target: < 0.5%)
  • Response time (target: < 500ms p95)
  • Uptime (target: > 99.9%)
  • Database performance
  • Infrastructure costs

User Metrics:

  • Daily active users (target: 50+)
  • Weekly active users (target: 75+)
  • Messages per user per day (target: 20+)
  • D1 retention (target: 50%+)
  • D7 retention (target: 30%+)
  • NPS score (target: > 40)

Business Metrics (if applicable):

  • Conversion to paid (target: 10%+)
  • Average revenue per user
  • Customer acquisition cost (target: $0 organic)

Success Criteria

  • ✅ > 99.9% uptime
  • ✅ < 0.5% error rate
  • ✅ NPS > 40
  • ✅ D7 retention > 30%
  • ✅ No critical bugs
  • ✅ < 10 high-priority bugs
  • ✅ Positive qualitative feedback
  • ✅ Infrastructure costs within budget

Exit Criteria

GO to Open Beta:

  • All success criteria met
  • No blocking bugs
  • Performance metrics healthy
  • User feedback positive
  • Cost model validated

NO-GO:

  • Uptime < 99.5%
  • NPS < 30
  • Critical bugs present
  • Major user complaints
  • Cost overruns

Phase 3: Open Beta (Weeks 5-6)

Duration: Mar 9-22, 2026 (14 days) Goal: Scale validation and final polish Target Users: 500-1,000 active users

User Acquisition

Acquisition Channels:

  1. Product Hunt launch
  2. Hacker News post
  3. Reddit communities (r/selfhosted, r/opensource)
  4. Twitter/X announcement
  5. LinkedIn post
  6. Email to waitlist (if exists)
  7. Beta user referrals

Registration:

  • Open registration (no codes required)
  • Optional approval process for quality control
  • Email verification required

Deployment Strategy

Environment: Production (full capacity) Scaling Plan: Auto-scaling enabled Monitoring: 24/7 on-call rotation

Infrastructure Scaling:

  • Database: Vertical scaling to 4 vCPU, 16GB RAM
  • Application: Horizontal scaling (3-10 pods)
  • WebSocket: Dedicated node pool (2-5 nodes)
  • Storage: Increased limits (100GB → 500GB)

Marketing & Communication

Launch Assets:

  • [ ] Launch blog post
  • [ ] Video demo (2-3 min)
  • [ ] Screenshots and graphics
  • [ ] Feature comparison table
  • [ ] Pricing page (if applicable)
  • [ ] FAQ page

Social Media Plan:

  • Day 1: Launch announcement
  • Day 3: Feature highlight #1
  • Day 5: User testimonial
  • Day 7: Feature highlight #2
  • Day 10: Community spotlight
  • Day 14: GA announcement teaser

Support Scaling

Support Team:

  • 2-3 support engineers (business hours)
  • 1 on-call engineer (24/7)
  • Escalation path to development team

Support Channels:

  1. In-app chat (fastest)
  2. Email support (4-hour SLA)
  3. Community forum (peer support)
  4. Documentation (self-service)

Support Metrics:

  • First response time (target: < 2 hours)
  • Resolution time (target: < 24 hours)
  • Customer satisfaction (target: > 4.5/5)

Performance Testing

Load Testing Schedule:

  • Day 1: Baseline (100 concurrent users)
  • Day 3: Medium load (500 concurrent users)
  • Day 7: High load (1,000 concurrent users)
  • Day 10: Peak load (1,500 concurrent users)
  • Day 14: Stress test (2,000 concurrent users)

Performance Targets:

  • Response time: < 500ms p95
  • WebSocket latency: < 100ms
  • Database queries: < 100ms p95
  • Error rate: < 0.1%

Cost Monitoring

Budget: $1,200-$4,800/month (Medium-Large tier)

Cost Breakdown:

  • Compute: $600-$2,400 (50%)
  • Database: $300-$1,200 (25%)
  • Storage: $100-$400 (10%)
  • Network: $100-$400 (10%)
  • Monitoring: $100-$400 (5%)

Cost Optimization:

  • Auto-scaling policies
  • Database connection pooling
  • CDN for static assets
  • Image optimization
  • Query optimization

Metrics to Track

Technical Metrics:

  • Uptime (target: > 99.9%)
  • Error rate (target: < 0.1%)
  • Response time (target: < 500ms p95)
  • WebSocket stability (target: > 99.5%)
  • Database performance

User Metrics:

  • Daily active users (target: 300+)
  • Weekly active users (target: 500+)
  • D1 retention (target: 60%+)
  • D7 retention (target: 40%+)
  • D30 retention (target: 20%+)
  • NPS score (target: > 50)

Growth Metrics:

  • New signups per day (target: 50+)
  • Activation rate (target: 70%+)
  • Viral coefficient (target: 0.3+)
  • Organic vs. paid acquisition

Success Criteria

  • ✅ > 99.9% uptime
  • ✅ < 0.1% error rate
  • ✅ NPS > 50
  • ✅ D7 retention > 40%
  • ✅ 500+ weekly active users
  • ✅ Infrastructure costs within budget
  • ✅ No critical bugs
  • ✅ Support metrics healthy

Exit Criteria

GO to General Availability:

  • All success criteria met
  • No blocking bugs
  • Performance at scale validated
  • Cost model sustainable
  • User feedback overwhelmingly positive
  • Infrastructure stable under load

NO-GO:

  • Uptime < 99.5%
  • Critical bugs present
  • Performance degradation
  • Cost overruns (> 50% over budget)
  • Negative user sentiment

Phase 4: General Availability (Week 7+)

Start Date: Mar 23, 2026 Goal: Full public launch Target Users: Unlimited (start with 1,000+, scale to 10,000+)

Launch Day Plan

Timeline (All times PST):

6:00 AM: Final pre-launch checks

  • System health verification
  • Backup confirmation
  • Monitoring dashboard review
  • Support team briefing

8:00 AM: Remove beta restrictions

  • Disable invitation-only mode
  • Remove feature flags
  • Update homepage
  • Enable full registration

9:00 AM: Launch announcements

  • Publish blog post
  • Tweet launch announcement
  • Post to Product Hunt
  • Submit to Hacker News
  • Email newsletter
  • Update status page

10:00 AM: Monitor metrics (hourly)

  • Traffic surge handling
  • Error rate monitoring
  • Response time tracking
  • Support queue

12:00 PM: Mid-day review

  • Metrics review meeting
  • Bug triage
  • Support escalations
  • Performance check

3:00 PM: Social media engagement

  • Respond to comments
  • Share user testimonials
  • Answer questions
  • Community engagement

6:00 PM: End-of-day review

  • Daily metrics summary
  • Incident review (if any)
  • Tomorrow's priorities
  • On-call handoff

24/7: Continuous monitoring

  • Automated alerts
  • On-call rotation
  • Incident response

Marketing Campaign

Launch Week Activities:

  • Day 1: Product Hunt launch
  • Day 2: Hacker News front page push
  • Day 3: Community AMA on Reddit
  • Day 4: Video walkthrough release
  • Day 5: User success stories
  • Day 6: Feature deep-dive blog posts
  • Day 7: Week 1 metrics & learnings

Content Calendar (First Month):

  • Week 1: Launch content
  • Week 2: Feature highlights
  • Week 3: Use case examples
  • Week 4: Community spotlights

Growth Strategy

Acquisition Channels:

  1. Organic:

    • SEO optimization
    • Content marketing
    • Community engagement
    • Word of mouth

  2. Paid (if budget allows):

    • Google Ads (retargeting)
    • Facebook/LinkedIn ads
    • Sponsored content
    • Influencer partnerships

  3. Partnerships:

    • Open source communities
    • Developer tools
    • SaaS directories
    • Affiliate program

Support Operations

Support Structure:

  • Tier 1: Community forum (peer support)
  • Tier 2: Email support (8h response)
  • Tier 3: Live chat (business hours)
  • Tier 4: On-call engineers (critical issues)

Support Metrics:

  • First response: < 4 hours
  • Resolution: < 48 hours (non-critical)
  • Satisfaction: > 4.5/5 stars
  • Self-service resolution: > 60%

Support Scaling Plan:

  • 1-100 users: 1 support person
  • 100-500 users: 2 support people
  • 500-1,000 users: 3 support people
  • 1,000-5,000 users: 5 support people + 2 on-call
  • 5,000+ users: Dedicated support team

Monitoring & Alerting

Critical Alerts (Page immediately):

  • Error rate > 1%
  • Uptime < 99%
  • Response time > 2 seconds
  • Database down
  • WebSocket disconnections > 10%
  • Security incident

Warning Alerts (Slack notification):

  • Error rate > 0.5%
  • Response time > 1 second
  • Memory usage > 80%
  • CPU usage > 80%
  • Disk space < 20%

Info Alerts (Dashboard only):

  • New user signups
  • Daily active users milestone
  • Performance improvements
  • Cost savings

Performance Targets

SLA Commitments:

  • Uptime: 99.9% (43 minutes downtime/month)
  • API response: < 500ms p95
  • WebSocket latency: < 100ms p95
  • Data durability: 99.999% (five nines)

Capacity Planning:

  • Small: 100 users → $300/month
  • Medium: 1,000 users → $1,200/month
  • Large: 5,000 users → $4,800/month
  • Enterprise: 10,000 users → $9,600/month

Financial Model

Revenue Streams (if applicable):

  1. Freemium:

    • Free tier: Basic features
    • Pro tier: $10/user/month
    • Enterprise: Custom pricing

  2. Open Source + Support:

    • Free: Self-hosted
    • Support: $500/month
    • Managed: $1,000/month

  3. Sponsorship:

    • GitHub Sponsors
    • Open Collective
    • Corporate sponsors

Cost Structure:

  • Infrastructure: 40-50%
  • Support: 20-30%
  • Development: 20-30%
  • Marketing: 10-20%

Break-even Target:

  • 100 Pro users × $10/month = $1,000/month
  • Or 2-3 enterprise customers

Success Metrics (First 3 Months)

User Metrics:

  • Total users: 5,000+
  • Daily active users: 1,000+
  • Weekly active users: 2,000+
  • Monthly active users: 3,000+
  • D30 retention: 30%+

Technical Metrics:

  • Uptime: > 99.9%
  • Error rate: < 0.1%
  • Response time: < 500ms p95
  • Support satisfaction: > 4.5/5

Business Metrics (if applicable):

  • Revenue: Break-even or profitable
  • Customer acquisition cost: < $50
  • Lifetime value: > $500
  • Churn rate: < 5%/month

Rollback Procedures

Rollback Triggers

Automatic Rollback (if any):

  • Error rate > 5%
  • Response time > 5 seconds
  • Database connection failures > 50%
  • Critical security vulnerability

Manual Rollback Decision:

  • Data loss detected
  • Critical feature broken
  • User-reported critical bugs
  • Infrastructure instability

Rollback Process

Blue-Green Rollback (< 5 minutes):

  1. Switch traffic to previous version (30 seconds)
  2. Verify health checks (1 minute)
  3. Confirm error rate drop (2 minutes)
  4. Notify team (1 minute)
  5. Begin incident post-mortem

Database Rollback (if needed):

  1. Stop application traffic
  2. Restore database snapshot
  3. Replay WAL to latest safe point
  4. Restart application
  5. Verify data integrity

Communication:

  • Internal: Immediate Slack notification
  • External: Status page update within 5 minutes
  • Users: Email notification if downtime > 15 minutes

Communication Plan

Internal Communication

Daily Standups (Launch week):

  • Time: 9:00 AM PST
  • Duration: 15 minutes
  • Attendees: Dev, DevOps, Support
  • Format: Yesterday, today, blockers

Weekly Reviews (Post-launch):

  • Time: Monday 10:00 AM PST
  • Duration: 1 hour
  • Attendees: All team + stakeholders
  • Format: Metrics, incidents, priorities

Incident Communication:

  • Channel: #incidents Slack channel
  • Real-time updates
  • Post-mortem within 48 hours
  • Blameless culture

External Communication

Status Page:

  • URL: status.example.com
  • Real-time uptime monitoring
  • Incident history
  • Scheduled maintenance

Blog:

  • Launch announcement
  • Feature releases
  • Product updates
  • Technical deep-dives

Social Media:

  • Twitter/X: @nself_chat
  • LinkedIn: Company page
  • GitHub: Repository + discussions

Email:

  • Launch announcement
  • Monthly newsletter
  • Critical updates
  • Security advisories

User Support

Documentation:

  • Getting started guide
  • Feature documentation
  • API reference
  • Troubleshooting guide

Community:

  • Discord server
  • GitHub discussions
  • Reddit community
  • Stack Overflow tag

Direct Support:

  • Email: [email protected]
  • Live chat: In-app (business hours)
  • Phone: Enterprise customers only

Risk Management

Known Risks

Risk Probability Impact Mitigation Owner
Infrastructure scaling issues Medium High Load testing, auto-scaling DevOps
Database performance degradation Low High Query optimization, read replicas Dev
Security incident Low Critical Security controls, monitoring Security
Cost overruns Medium Medium Budget alerts, auto-scaling limits Finance
User adoption lower than expected Medium Medium Marketing, product improvements Product
Technical debt accumulation High Low Regular refactoring sprints Dev
Support overwhelm Medium Medium Self-service docs, chatbot Support
Competitor response Low Low Focus on differentiation Product

Contingency Plans

If uptime < 99%:

  1. Immediate incident response
  2. Root cause analysis
  3. Infrastructure hardening
  4. Consider delaying GA

If user adoption is slow:

  1. Analyze user feedback
  2. Identify friction points
  3. Improve onboarding
  4. Increase marketing efforts

If costs exceed budget by 50%:

  1. Identify cost drivers
  2. Optimize expensive operations
  3. Reduce limits temporarily
  4. Adjust pricing model

If critical bug found:

  1. Immediate hotfix
  2. Deploy within 2 hours
  3. Notify affected users
  4. Post-mortem and prevention

Post-Launch Activities

First 30 Days

Week 1:

  • Daily metrics review
  • Rapid bug fixes
  • User feedback collection
  • Performance optimization

Week 2:

  • First monthly review
  • Feature prioritization
  • Documentation updates
  • Marketing campaign continuation

Week 3-4:

  • Quarterly planning
  • Technical debt reduction
  • Security audit
  • Growth experiments

Ongoing Operations

Daily:

  • Monitor metrics dashboard
  • Review error logs
  • Triage support tickets
  • Deploy bug fixes

Weekly:

  • Team sync meeting
  • Deploy feature updates
  • Review user feedback
  • Publish blog post or update

Monthly:

  • Business review meeting
  • Security review
  • Infrastructure optimization
  • User surveys

Quarterly:

  • Strategic planning
  • Major feature releases
  • Security penetration test
  • Financial review

Success Celebration

Milestones to Celebrate

  • [ ] 100 users
  • [ ] 500 users
  • [ ] 1,000 users
  • [ ] 5,000 users
  • [ ] 10,000 users
  • [ ] 99.9% uptime for 30 days
  • [ ] NPS > 60
  • [ ] Break-even or profitability
  • [ ] Product Hunt top 5
  • [ ] Hacker News front page
  • [ ] First enterprise customer

Team Recognition

  • Launch day team dinner
  • Monthly team retrospectives
  • Quarterly offsite
  • Annual celebration event

Conclusion

This launch plan provides a comprehensive roadmap from pre-launch preparation through general availability. The phased approach minimizes risk while maximizing learning, allowing us to iterate quickly based on real user feedback.

Key Success Factors:

  1. ✅ Strong technical foundation (147 tasks completed)
  2. ✅ Comprehensive monitoring and alerting
  3. ✅ Clear rollback procedures
  4. ✅ Phased rollout strategy
  5. ✅ Focus on user feedback
  6. ✅ Sustainable cost model
  7. ✅ Scalable support structure

Next Steps:

  1. Review and approve this plan
  2. Assign owners to all tasks
  3. Begin Phase 0 (pre-launch preparation)
  4. Track progress against milestones
  5. Adjust plan based on learnings

Let's launch nself-chat v0.9.1 and change team communication forever. 🚀

Plan Maintained By: Product/Engineering Team Last Updated: February 9, 2026 Next Review: Weekly during launch phases

Approved By: (Awaiting approval)